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Image Matting without Matting-Specific Annotations via Eikonal Fields

NeurIPS 2026 · Detection and segmentation › Open-set and few-shot detection · approach: Object-level representation learning

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AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes FreeMatte, an image matting approach that avoids alpha-matte and trimap supervision by using Eikonal fields, as described in the abstract.

Problem

Deep image matting relies on costly task-specific annotations (alpha mattes and trimaps), limiting use in annotation-scarce settings.

Approach

Annotation-free matting framework built on Eikonal fields to estimate continuous alpha mattes without matting-specific labels; specific mechanism not detailed in the abstract.

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